2 papers
cs.LG2026
Conditional Denoising Model as a Physical Surrogate Model
José Afonso, Pedro Viegas, Rodrigo Ventura +1
Surrogate modeling for complex physical systems typically faces a trade-off between data-fitting accuracy and physical consistency. Physics-consistent approaches typically treat ph…
cs.LG2025
Physics-consistent machine learning: output projection onto physical manifolds
Matilde Valente, Tiago C. Dias, Vasco Guerra +1
Data-driven machine learning models often require extensive datasets, which can be costly or inaccessible, and their predictions may fail to comply with established physical laws.…